ZR_3118_JOB

Simple Solutions; Jacksonville (FL); Hybrid; USD 180,000 - 240,000; Full time

Job summary

Simple Solutions (United States) seeks a Senior GenAI DevOps Engineer /AI Engineer. The role combines AI agent development with DevOps, requires extensive experience, and offers remote/hybrid work with travel to client sites. You will design, build, deploy, and monitor AI agents using Claude SDK, AWS Bedrock, and GitHub Actions.

Expect to lead CI/CD pipelines, ensure secure cloud configurations, and collaborate with cross-functional teams on complex AI deployments.

Qualifications

• 10-15+ years overall experience in GenAI or agent AI development.
• Hands-on experience deploying AI agents to production.
• Strong coding skills and API integration capabilities.

Responsibilities

• Design, develop, and implement AI agents using Claude Agent SDK.
• Build agent workflows using Python or TypeScript with tool calling and MCP integrations.
• Deploy and manage AI agents on Amazon Bedrock AgentCore Runtime.
• Develop automated CI/CD pipelines using GitHub Actions for agents.
• Configure AWS IAM, ECR, Docker/container packaging, and cloud security.
• Monitor, troubleshoot, and optimize production AI agents.
• Implement secure authentication, logging, monitoring, and observability.

Skills

GitHub Actions

Python

TypeScript

Docker

API integration

Tools

Amazon Bedrock AgentCore Runtime

MCP integrations

Tool calling

Job description

GenAI DevOps Engineer /AI Engineer - Remote/Hybrid with Travel

Jacksonville, United States

Senior GenAI DevOps Engineer /AI Engineer - Remote/Hybrid with Travel

The key is time zone coverage and so we can expand our search across the West Coast - remote/hybrid but necessarily located in the western time zones . You must be comfortable to travel to the client site for workshops/meetings.

• Senior GenAI DevOps Engineer /AI Engineer who has 10-15+ years overall experience and 6-8 years building AI agents and deploying them into production on AWS.
  

The role combines AI agent development (60%) and DevOps/CI/CD engineering (40%). This is a suggested split based on the responsibilities you've described.

Job Description – AI Agent Engineer (Claude SDK / AWS AgentCore / GitHub Actions)

Experience: 10-15+ years overall, including hands-on GenAI or agentic AI development.

Key responsibilities

• Design, develop, and implement AI agents using the Claude Agent SDK (formerly Claude Code SDK).
  
• Build agent workflows using Python or TypeScript, including tool calling, MCP integrations, and API orchestration.
  
• Deploy and manage AI agents on Amazon Bedrock AgentCore Runtime.
  
• Develop automated CI/CD pipelines using GitHub Actions for agent builds, testing, and deployments.
  
• Configure AWS IAM, ECR, Docker/container packaging where applicable, and cloud security.
  
• Monitor, troubleshoot, and optimize production AI agent performance.
  
• Implement secure authentication, logging, monitoring, and observability.
  

Skills to look for

Skill

Priority

What to verify

Must-have

Amazon Bedrock AgentCore Runtime

Must-have

Actual agent deployment and runtime configuration

GitHub Actions

Must-have

Building CI/CD pipelines independently

Python or TypeScript

Must-have

Strong coding and API integration

AWS Bedrock

Must-have

Model integration and AWS ecosystem knowledge

Docker, AWS ECR, IAM

Strongly preferred

MCP and tool calling

Strongly preferred

Building agents that execute external tools